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Jamba Large 1.7 vs Kimi K3

Detailed technical comparison between Jamba Large 1.7 (AI21 Labs) and Kimi K3 (Moonshot AI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

Jamba Large 1.7: 6 WinsvsKimi K3: 0 Wins
Context Leader

Kimi K3

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Jamba Large 1.7

$2.00 / MTok
AI21 Labsactive

Jamba Large 1.7

Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context...

View Jamba Large 1.7 Full Specs โ†’
Moonshot AIactive

Kimi K3

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...

View Kimi K3 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationJamba Large 1.7Kimi K3
ProviderAI21 LabsMoonshot AI
Context Window256,000 tokens1,048,576 tokens๐Ÿ†
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityStable GA (est.)Beta Access (est.)
API AvailableYesYes
Released Date2025-08-082026-07-16

API Pricing Comparison

Input Price per Million Tokens

Jamba Large 1.7

$2.00

Kimi K3

$3.00

Output Price per Million Tokens

Jamba Large 1.7

$8.00

Kimi K3

$15.00

๐Ÿ’ก Cost Ratio: Jamba Large 1.7 is 1.5x cheaper per input token than Kimi K3.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
87.8%vs78.6%+9.2% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Kimi K3
HumanEvalPython coding & logic synthesis
87.0%vs76.8%+10.2% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Kimi K3
MATHComplex mathematical problem solving
68.2%vs54.0%+14.2% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Kimi K3
GPQAGraduate-level expert reasoning
49.6%vs39.4%+10.2% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Kimi K3
HellaSwagCommonsense reasoning and inference
85.4%vs81.6%+3.8% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Kimi K3
MT-BenchMulti-turn conversation flow quality
9.1%vs8.4%+0.7% Jamba Large 1.7
Jamba Large 1.7 ๐Ÿ†
Kimi K3

Jamba Large 1.7 Quirks & Gotchas

No developer gotchas reported.

Kimi K3 Quirks & Gotchas

No developer gotchas reported.

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